Triple
T1988277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mataf area |
E43189
|
entity |
| Predicate | pilgrimFlowDirection |
P35196
|
FINISHED |
| Object | organized in concentric circles |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: organized in concentric circles | Statement: [Mataf area, pilgrimFlowDirection, organized in concentric circles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pilgrimFlowDirection Context triple: [Mataf area, pilgrimFlowDirection, organized in concentric circles]
-
A.
drainageDirection
Indicates the direction in which water or other fluids flow or are drained away from a given point or area.
-
B.
dataFlowDirection
Indicates the direction in which data moves or is transmitted from a source entity to a target entity.
-
C.
hydrologicalOrder
Indicates the relative position or sequence of water bodies or stream segments within a drainage network, typically showing upstream-to-downstream ordering.
-
D.
flowsAt
Indicates that a fluid or substance moves through or along a specific location, point, or region.
-
E.
flowsFrom
Indicates that a substance, medium, or influence moves or originates from one entity or location and proceeds outward to another.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a88713ddc88190a969715658ebe7a8 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8ee02dc81908fec9fd8df7a4f40 |
completed | March 7, 2026, 5:34 a.m. |
| PD | Predicate disambiguation | batch_69abb79ad6888190be99943a9c73cf3e |
completed | March 7, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69abb8ec608c81908917e945e0118ac4 |
completed | March 7, 2026, 5:34 a.m. |
Created at: March 4, 2026, 7:37 p.m.